Metaheuristics for solving mathematical programming problems
This undergraduate research aims to study metaheuristics for solving mathematical programming problems. In optimization's context, metaheuristics are strategies which use problem specific knowledge to, stochastically use solutions worse than the current in order to avoid local maximum or minimu...
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| Format: | Online |
| Language: | Portuguese |
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Universidade Estadual de Campinas
2019
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| Online Access: | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2195 |
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| _version_ | 1864359011420209152 |
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| author | Washiya, Vitor Oliveira, Aurelio de |
| author_facet | Washiya, Vitor Oliveira, Aurelio de |
| author_sort | Washiya, Vitor |
| collection | Portal de Eventos Científicos da UNICAMP |
| container_reference | Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1 |
| description | This undergraduate research aims to study metaheuristics for solving mathematical programming problems. In optimization's context, metaheuristics are strategies which use problem specific knowledge to, stochastically use solutions worse than the current in order to avoid local maximum or minimum. The literature about metaheuristics is huge and continues in expansion, mostly by its commercial interest, once most real problems are far too large to be solved by exact algorithms. This project considered a wide variety of metaheuristics and focused on a particular one: The Ant Colony Optmization applied to the Symmetric Travelling Salesman Problem (TSP). |
| first_indexed | 2025-10-08T13:56:40Z |
| format | Online |
| id | ojs-article-2195 |
| institution | Universidade Estadual de Campinas |
| issn | 2596-1969 |
| language | por |
| last_indexed | 2025-10-08T13:56:40Z |
| publishDate | 2019 |
| publisher | Universidade Estadual de Campinas |
| record_format | ojs |
| spelling | ojs-article-21952025-09-26T14:39:16Z Metaheuristics for solving mathematical programming problems Washiya, Vitor Oliveira, Aurelio de Ant colony optimization Mathematical programming Metaheuristics This undergraduate research aims to study metaheuristics for solving mathematical programming problems. In optimization's context, metaheuristics are strategies which use problem specific knowledge to, stochastically use solutions worse than the current in order to avoid local maximum or minimum. The literature about metaheuristics is huge and continues in expansion, mostly by its commercial interest, once most real problems are far too large to be solved by exact algorithms. This project considered a wide variety of metaheuristics and focused on a particular one: The Ant Colony Optmization applied to the Symmetric Travelling Salesman Problem (TSP). Universidade Estadual de Campinas 2019-01-09 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo de convidado application/pdf https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2195 10.20396/revpibic2720192195 Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1 2596-1969 por https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2195/2249 Copyright (c) 2019 Revista dos Trabalhos de Iniciação Científica da UNICAMP http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | Washiya, Vitor Oliveira, Aurelio de Ant colony optimization Mathematical programming Metaheuristics Metaheuristics for solving mathematical programming problems |
| title | Metaheuristics for solving mathematical programming problems |
| title_full | Metaheuristics for solving mathematical programming problems |
| title_fullStr | Metaheuristics for solving mathematical programming problems |
| title_full_unstemmed | Metaheuristics for solving mathematical programming problems |
| title_short | Metaheuristics for solving mathematical programming problems |
| title_sort | metaheuristics for solving mathematical programming problems |
| topic | Ant colony optimization Mathematical programming Metaheuristics |
| url | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2195 |
| work_keys_str_mv | AT washiyavitor metaheuristicsforsolvingmathematicalprogrammingproblems AT oliveiraaureliode metaheuristicsforsolvingmathematicalprogrammingproblems |
